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Comparison of optical reflectance spectrum at blade and vein parts of cabbage and kale leaves

  • Ngo, Viet-Duc (Department of Biosysytem Machine Engineering, Chungnam National University) ;
  • Ryu, Dong-Ki (Department of Biosysytem Machine Engineering, Chungnam National University) ;
  • Chung, Sun-Ok (Department of Biosysytem Machine Engineering, Chungnam National University) ;
  • Park, Sang-Un (Department of crop scienc, Chungnam National University) ;
  • Kim, Sun-Ju (Department of Bio Environmental Chemistry, Chungnam National University) ;
  • Park, Jong-Tae (Department of Food Science and Technology Chungnam National University)
  • Received : 2012.12.30
  • Accepted : 2013.06.10
  • Published : 2013.06.30

Abstract

Objective of the study was to compare reflectance spectrum in the blade and the vein parts of cabbage and kale leaves. A total 6 cabbage and kale leaves were taken from a plant factory in Chungnam National University, Korea. Spectra data were collected with a UV/VIS/NIR spectrometer (model: USB2000, Ocean Optics, FL, USA) in the wavelength region of 190 - 1130 nm. Median filter smoothing method was selected to preprocess the obtained spectra data. We computed reflectance difference by subtraction of averaged spectrum from individual spectrum. To estimate correlation at different parts of cabbage and kale leaves, cross - correlation method was used. Differences between cabbage and kale leaves are clearly manifested in the green, red and near - infrared ranges. The percent reflectance of cabbage leaves in the NIR wavelength band was higher than that of kale leaves. Reflectance in the blade part was higher than in the vein part by 18%. Reflectance difference in the different parts of cabbage and kale leaves were clear in all of the wavelength bands. Standard deviation of reflectance difference in the vein part was greater for kale, while the value in the blade part was greater for cabbage leaves. Standard deviation of cross - correlation increased from 0.092 in the first sensor (UV/VIS) and 0.007 in the second sensor (NIR) to 0.099 and 0.015, respectively.

Keywords

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